Distress in hospitalized cancer patients: Associations with personality traits, clinical and psychosocial characteristics

PSYCHO-ONCOLOGY(2022)

引用 4|浏览14
暂无评分
摘要
Objective To improve allocation of psychosocial care and to provide patient-oriented support offers, identification of determinants of elevated distress is needed. So far, there is a lack of evidence investigating the interplay between individual disposition and current clinical and psychosocial determinants of distress in the inpatient setting. Methods In this cross-sectional study, we investigated 879 inpatients with different cancer sites treated in a German Comprehensive Cancer Center. Assessment of determinants of elevated distress included sociodemographic, clinical and psychosocial characteristics as well as dimensions of personality. Multiple linear regression was applied to identify determinants of psychosocial distress. Results Mean age of the patients was M = 61.9 (SD = 11.8), 48.1% were women. In the multiple linear regression model younger age (beta = -0.061, p = 0.033), higher neuroticism (beta = 0.178, p = <0.001), having metastases (beta = 0.091, p = 0.002), being in a worse physical condition (beta = 0.380, p = <0.001), depressive symptoms (beta = 0.270, p = <0.001), not feeling well informed about psychological support (beta = 0.054, p = 0.046) and previous uptake of psychological treatment (beta = 0.067, p = 0.020) showed significant associations with higher psychosocial distress. The adjusted R-2 of the overall model was 0.464. Conclusion Controlling for sociodemographic characteristics and dispositional vulnerability, that is neuroticism, current clinical and psychosocial characteristics were still associated with hospitalized patients' psychosocial distress. Psycho-oncologists should address both, the more transient emotional responses, such as depressive symptoms, as well as more enduring patient characteristics, like neuroticism.
更多
查看译文
关键词
cancer, depression, inpatients, mental health, oncology, personality, psycho-oncology, psychosocial distress, risk factors
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要